Joon‐Sup Yeom
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
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- Antibiotic Use and Resistance
Papers in
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- COVID-19 Clinical Research Studies 15
- SARS-CoV-2 and COVID-19 Research 9
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- Malaria Research and Control 41
- Co-authors
- Jun Yong Choi (91 shared papers)Su Jin Jeong (86 shared papers)Jin Young Ahn (81 shared papers)Nam Su Ku (80 shared papers)Jung Ho Kim (79 shared papers)Seungho Ryu (12 shared papers)Kyong Ran Peck (20 shared papers)Eun‐Jeong Joo (16 shared papers)
- Journals
- Journal of Korean Medical Science (15 papers)Scientific Reports (9 papers)PLoS ONE (9 papers)Journal of Infection (7 papers)Journal of Clinical Medicine (7 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Joon‐Sup Yeom
193 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 129
- Molecular Medicine 448
- Applied Microbiology and Biotechnology 128
- Infectious Diseases 868
- Endocrinology 127
- Microbiology 19
Countries citing papers authored by Joon‐Sup Yeom
This map shows the geographic impact of Joon‐Sup Yeom's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Joon‐Sup Yeom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joon‐Sup Yeom more than expected).
Fields of papers citing papers by Joon‐Sup Yeom
This network shows the impact of papers produced by Joon‐Sup Yeom. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Joon‐Sup Yeom. The network helps show where Joon‐Sup Yeom may publish in the future.
Co-authors
The 25 scholars most cited alongside Joon‐Sup Yeom, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 214 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 277 | |
| 2 | 2008 | 159 | |
| 3 | 2009 | 146 | |
| 4 | 2016 | 124 | |
| 5 | 2020 | 80 | |
| 6 | 2010 | 77 | |
| 7 | 2010 | 72 | |
| 8 | 2003 | 70 | |
| 9 | 2010 | 65 | |
| 10 | 2009 | 64 | |
| 11 | 2018 | 64 | |
| 12 | 2010 | 59 | |
| 13 | 2019 | 53 | |
| 14 | 2008 | 52 | |
| 15 | 2005 | 47 | |
| 16 | 2010 | 45 | |
| 17 | 2019 | 45 | |
| 18 | 2020 | 45 | |
| 19 | 2020 | 45 | |
| 20 | 2003 | 41 |
About Joon‐Sup Yeom
Joon‐Sup Yeom is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Molecular Medicine and Endocrinology, having authored 214 papers that have together received 3.6k indexed citations. Recurring topics across this work include Malaria Research and Control (41 papers), Antibiotic Resistance in Bacteria (15 papers), COVID-19 Clinical Research Studies (15 papers), Sepsis Diagnosis and Treatment (10 papers), Infective Endocarditis Diagnosis and Management (9 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Antibiotic Use and Resistance (7 papers) and Urinary Tract Infections Management (6 papers). The work is most often cited by research in Molecular Medicine (448 citations), Applied Microbiology and Biotechnology (128 citations), Infectious Diseases (868 citations), Endocrinology (127 citations) and Microbiology (19 citations). Joon‐Sup Yeom has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Jun Yong Choi, Su Jin Jeong, Jin Young Ahn, Nam Su Ku, Jung Ho Kim, Seungho Ryu, Kyong Ran Peck, Eun‐Jeong Joo, Jae-Won Park and Yoosoo Chang. Their work appears in journals such as Journal of Korean Medical Science, Scientific Reports, PLoS ONE, Journal of Infection and Journal of Clinical Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.